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    Statistics for Applied Behavior Analysis Practitioners and Researchers

    Statistics for Applied Behavior Analysis Practitioners and Researchers

    Af
    Bog E-bog
    • Format
    • Bog, paperback
    • Engelsk

    Beskrivelse

    Professionals who provide services based on the principles of behavior are required to use evidence-based practices and to make data-based decisions regarding assessments and interventions. Doing so requires statistical literacy: competence in collecting, analyzing, interpreting and presenting aggregate quantitative data within or between subjects. Without statistical literacy, behavior analysts cannot take advantage of, or intelligently discuss, ongoing scientific developments around interventions for autism spectrum disorders (ASD). Statistics for Applied Behavior Analysis Practitioners and Researchers provides practical and useful content for individuals who work directly with, or supervise those who work directly with, individuals with ASD. This book introduces core concepts and principles of modern statistical analysis that behavior analysts will need to deliver and consume the larger scientific literature. The organization of the book follows the common sequence of decisions for collecting, describing and analyzing data associated with behavior analytic service delivery and research. By the end of the book, readers should be able to understand and accurately incorporate statistics in their assessment and intervention effects using statistics.

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    Detaljer
    • SprogEngelsk
    • Sidetal304
    • Udgivelsesdato22-06-2023
    • ISBN139780323998857
    • Forlag Academic Press Inc
    • FormatPaperback
    Størrelse og vægt
  • Vægt500 g
    • coffee cup img
    10 cm
    book img
    15,2 cm
    22,9 cm

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    Mode Data collection Models Verbal behavior Time-series analysis Epistemology Confidence intervals Dynamics Statistics Sample Size trend Applied Behavior Analysis NHST Probability distributions Regression Models Probability theory Categorical Data Mixed-effects models Data types Standard error of the mean Variability Bayesian statistics Power analysis Seasonality Median Time series Continuous data Level Classification models Standard deviation Ordinal Data Kendall's Tau Quantitative data Statistical decision making Behavior models Discrete data ARIMA Mean Cyclicity Complex behavior Data Measurement Central Tendency effect sizes Forecasting behavior Cohen’s d correlation coefficients Data trends Hedge’s g Exponential Smoothing Multiple control frequentist statistics Nonoverlap statistics Nominal Data Nonparametric tests of significance Percentage of trials with correct responding point estimates Quantitative analyses of behavior Interobserver agreement social significance Responses per minute Response Probability Statistical presentations Response variability Structured criteria Statistics checklist Model comparisons Stable responding Uncontrolled variables Parametric tests of significance Time Series Decomposition Statistical myths Steady-state responding Statistical writing
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